if len(errs) != len(disks) {
		bugLogIf(GlobalContext, errors.New("unexpected drives/errors slice length"))
		return nil
	}
	newDisks := make([]StorageAPI, len(disks))
	for index := range errs {
		if errs[index] == nil {
			newDisks[index] = disks[index]
		} else {
			newDisks[index] = nil
		}
	}
	return newDisks
}

// Errors specifically generated by calculatePartSizeFromIdx function.
var (

errors.property_type_integer={0}は数値です。
errors.property_type_long={0}は数値です。
errors.property_type_float={0}は数値です。
errors.property_type_double={0}は数値です。
errors.property_type_date={0}は日付です。

errors.storage_file_upload_failure={0} のアップロードに失敗しました。
errors.storage_file_not_found=対象のファイルはストレージ内にありません。
errors.storage_file_download_failure={0} のダウンロードに失敗しました。
errors.storage_access_error=ストレージアクセスエラー: {0}

}

// TransferError will catch network errors during transfer.
// When TransferError() is called Close() will also
// be called, so we do not need to Wait() here.
func (w *writerAt) TransferError(err error) {
	_ = w.w.CloseWithError(err)
	_ = w.r.CloseWithError(err)
	w.err = err
}

func (w *writerAt) Close() (err error) {
	switch {
	case len(w.buffer) > 0:

	if !s.IsValid(w, r) {
		s.writeErrorResponse(w, errors.New("Invalid request"))
		return
	}

	vars := mux.Vars(r)
	profiles := strings.Split(vars[peerRESTProfiler], ",")
	if len(profiles) == 0 {
		s.writeErrorResponse(w, errors.New("profiler name is missing"))
		return
	}
	globalProfilerMu.Lock()
	defer globalProfilerMu.Unlock()

package tests_test

import (
	"errors"
	"fmt"
	"regexp"
	"testing"
	"time"

	"github.com/jinzhu/now"
	"gorm.io/gorm"
	"gorm.io/gorm/clause"
	. "gorm.io/gorm/utils/tests"
)

func TestCreate(t *testing.T) {
	u1 := *GetUser("create", Config{})

	if results := DB.Create(&u1); results.Error != nil {
		t.Fatalf("errors happened when create: %v", results.Error)
	} else if results.RowsAffected != 1 {

  if (!tensorflow::protobuf::TextFormat::ParseFromString(text_proto, &gdef)) {
    status->status = tensorflow::errors::Internal(
        "Invalid text proto for GraphDef: ", text_proto);
    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);

/// tip

Some editors check for unused function parameters, and show them as errors.

Using these `dependencies` in the *path operation decorator* you can make sure they are executed while avoiding editor/tooling errors.

It might also help avoid confusion for new developers that see an unused parameter in your code and could think it's unnecessary.

///

/// info

     */
    private boolean isRecoverableError(Exception error) {
        // Timeout errors are often recoverable
        if (error instanceof SocketTimeoutException) {
            return true;
        }

        // Some socket errors might be recoverable
        if (error instanceof SocketException) {
            String message = error.getMessage();

	googleAPIErr, ok := err.(*googleapi.Error)
	if !ok {
		// We don't interpret non MinIO errors. As minio errors will
		// have StatusCode to help to convert to object errors.
		return err
	}

	if len(googleAPIErr.Errors) == 0 {
		return err
	}

	reason := googleAPIErr.Errors[0].Reason
	message := googleAPIErr.Errors[0].Message

	switch reason {
	case "required":

		cfgInfos, err = globalIAMSys.OpenIDConfig.GetConfigInfo(cfg, cfgName)
	case madmin.LDAPIDPCfg:
		cfgInfos, err = globalIAMSys.LDAPConfig.GetConfigInfo(cfg, cfgName)
	}
	if err != nil {
		if errors.Is(err, openid.ErrProviderConfigNotFound) || errors.Is(err, cfgldap.ErrProviderConfigNotFound) {
			writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrAdminNoSuchConfigTarget), r.URL)
			return
		}